Basic engineering skills: tolerances analysis, design for assembly (DFA), design for manufacturing (DFM), simple fixture design, understanding of Statistical Process Controls (SPC), understanding of metrology (basic knowledge of measurement systems)
Able to be based in Changsha or Shenzhen
Minimum > 6 months full time for internship projects.
2nd or 3rd year in MS or PhD in mechanical, manufacturing or data science related preferred
Preferred Qualifications
Experience: Machine Learning, Computer Science, Data Science, Statistics or related areas
In-depth knowledge in deep learning (DL) and statistical machine learning (ML).
Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision
Proficiency in programming languages like Python.
Experience working on Linux and macOS based platforms
Hands-on experience working with deep learning toolkits such as Scikit-Learn, AutoGluon, PyTorch or TensorFlow
Demonstrated ability to conduct innovative research and publish findings in top-tier conferences and journals.